Abstract: In embodiments of the present invention improved capabilities are described for a mobile environment speech processing facility. The present invention may provide for the entering of text into a music software application resident on a mobile communication facility, where speech may be recorded using the mobile communications facility's resident capture facility. Transmission of the recording may be provided through a wireless communication facility to a speech recognition facility. Results may be generated utilizing the speech recognition facility that may be independent of structured grammar, and may be based at least in part on the information relating to the recording. The results may then be transmitted to the mobile communications facility, where they may be loaded into the music software application. In embodiments, the user may be allowed to alter the results that are received from the speech recognition facility. In addition, the speech recognition facility may be adapted based on usage.

Abstract: In embodiments of the present invention improved capabilities are described for a mobile environment speech processing facility. The present invention may provide for the entering of text into a content search software application resident on a mobile communication facility, where speech may be recorded using the mobile communications facility's resident capture facility. Transmission of the recording may be provided through a wireless communication facility to a speech recognition facility. Results may be generated utilizing the speech recognition facility that may be independent of structured grammar, and may be based at least in part on the information relating to the recording. The results may then be transmitted to the mobile communications facility, where they may be loaded into the content search software application. In embodiments, the user may be allowed to alter the results that are received from the speech recognition facility.

Abstract: In embodiments of the present invention improved capabilities are described for a mobile environment speech processing facility. The present invention may provide for the entering of text into a messaging software application resident on a mobile communication facility, where speech may be recorded using the mobile communications facility's resident capture facility. Transmission of the recording may be provided through a wireless communication facility to a speech recognition facility. Results may be generated utilizing the speech recognition facility that may be independent of structured grammar, and may be based at least in part on the information relating to the recording. The results may then be transmitted to the mobile communications facility, where they may be loaded into the messaging software application. In embodiments, the user may be allowed to alter the results that are received from the speech recognition facility. In addition, the speech recognition facility may be adapted based on usage.

Abstract: In embodiments of the present invention improved capabilities are described for a mobile environment speech processing facility. The present invention may provide for the entering of text into a software application resident on a mobile communication facility, where recorded speech may be presented by the user using the mobile communications facility's resident capture facility. Transmission of the recording may be provided through a wireless communication facility to a speech recognition facility, and may be accompanied by information related to the software application. Results may be generated utilizing the speech recognition facility that may be independent of structured grammar, and may be based at least in part on the information relating to the software application and the recording. The results may then be transmitted to the mobile communications facility, where they may be loaded into the software application. In addition, the speech recognition facility may be adapted based on usage.

Abstract: In embodiments of the present invention improved capabilities are described for a mobile environment speech processing facility. The present invention may provide for the entering of text into a local search software application resident on a mobile communication facility, where speech may be recorded using the mobile communications facility's resident capture facility. Transmission of the recording may be provided through a wireless communication facility to a speech recognition facility. Results may be generated utilizing the speech recognition facility that may be independent of structured grammar, and may be based at least in part on the information relating to the recording. The results may then be transmitted to the mobile communications facility, where they may be loaded into the local search software application. In embodiments, the user may be allowed to alter the results that are received from the speech recognition facility.

Abstract: In embodiments of the present invention improved capabilities are described for a mobile environment speech processing facility. The present invention may provide for the entering of text into a software application resident on a mobile communication facility, where recorded speech may be presented by the user using the mobile communications facility's resident capture facility. Transmission of the recording may be provided through a wireless communication facility to a speech recognition facility, and may be accompanied by information related to the software application. Results may be generated utilizing the speech recognition facility that may be independent of structured grammar, and may be based at least in part on the information relating to the software application and the recording. The results may then be transmitted to the mobile communications facility, where they may be loaded into the software application.

Abstract: In embodiments of the present invention improved capabilities are described for a mobile environment speech processing facility. The present invention may provide for the entering of text into a browser software application resident on a mobile communication facility, where speech may be recorded using the mobile communications facility's resident capture facility. Transmission of the recording may be provided through a wireless communication facility to a speech recognition facility. Results may be generated utilizing the speech recognition facility that may be independent of structured grammar, and may be based at least in part on the information relating to the recording. The results may then be transmitted to the mobile communications facility, where they may be loaded into the browser software application. In embodiments, the user may be allowed to alter the results that are received from the speech recognition facility. In addition, the speech recognition facility may be adapted based on usage.

Abstract: A novel receptor, “LDL-receptor-related protein-5” (“LRP-5”), is provided, along with encoding nucleic acid. The gene is associated with type 1 diabetes (insulin dependent diabetes mellitus), and experimental evidence provides indication that it is the IDDM susceptibility gene IDDM4. In various aspects the invention provides nucleic acid, including coding sequences, oligonucleotide primers and probes, polypeptides, pharmaceutical compositions, methods of diagnosis or prognosis, and other methods relating to and based on the gene, including methods of treatment of diseases in which the gene may be implicated, including autoimmune diseases, such as glomerulonephritis, diseases and disorders involving disruption of endocytosis and/or antigen presentation, diseases and disorders involving cytokine clearance and/or inflammation, viral infection, elevation of free fatty acids or hypercholesterolemia, osteoporosis, Alzheimer's disease, and diabetes.

Abstract: A method and apparatus are provided for automatically recognizing words of spoken speech using a computer-based speech recognition system according to a dynamic semantic model. In an embodiment, the speech recognition system recognizes speech and generates one or more word strings, each of which is a hypothesis of the speech, and creates and stores a probability value or score for each of the word strings. The word strings are ordered by probability value. The speech recognition system also creates and stores, for each of the word strings, one or more keyword-value pairs that represent semantic elements and semantic values of the semantic elements for the speech that was spoken. One or more dynamic semantic rules are defined that specify how a probability value of a word string should be modified based on information about external conditions, facts, or the environment of the application in relation to the semantic values of that word string.

Abstract: An arrangement is provided for text to speech processing based on linguistic prosodic models. Linguistic prosodic models are established to characterize different linguistic prosodic characteristics. When an input text is received, a target unit sequence is generated with a linguistic target that annotates target units in the target unit sequence with a plurality of linguistic prosodic characteristics so that speech synthesized in accordance with the target unit sequence and the linguistic target has certain desired prosodic properties. A unit sequence is selected in accordance with the target unit sequence and the linguistic target based on joint cost information evaluated using established linguistic prosodic models. The selected unit sequence is used to produce synthesized speech corresponding to the input text.

Abstract: A telephone-based interactive speech recognition system is retrained using variable weighting and incremental retraining. Variable weighting involves changing the relative influence of particular measurement data to be reflected in a statistical model. Statistical model data is determined based upon an initial set of measurement data determined from an initial set of speech utterances. When new statistical model data is to be generated to reflect new measurement data determined from new speech utterances, a weighting factor is applied to the new measurement data to generate weighted new measurement data. The new statistical model data is then determined based upon the initial set of measurement data and the weighted new measurement data. Incremental retraining involves generating new statistical model data using prior statistical model data to reduce the amount of prior measurement data that must be maintained and processed.

Abstract: An arrangement is provided for generating a reduced unit database of a desired size to be used in text to speech operations. A reduced unit database with a desired size is generated based on a full unit database. The reduction is carried out with respect to a text database with a plurality of sentences. Units from the full database are pruned to minimize an overall cost associated with using alternative units other than the units in the reduced unit database.

Abstract: A method and apparatus are provided for automatically recognizing words of spoken speech using a computer-based speech recognition system according to a dynamic semantic model. In an embodiment, the speech recognition system recognizes speech and generates one or more word strings, each of which is a hypothesis of the speech, and creates and stores a probability value or score for each of the word strings. The word strings are ordered by probability value. The speech recognition system also creates and stores, for each of the word strings, one or more keyword-value pairs that represent semantic elements and semantic values of the semantic elements for the speech that was spoken. One or more dynamic semantic rules are defined that specify how a probability value of a word string should be modified based on information about external conditions, facts, or the environment of the application in relation to the semantic values of that word string.

Abstract: A novel receptor, “LDL-receptor-related protein-3” (“LRP-3”), is provided, along with encoding nucleic acid. The gene is associated with type 1 diabetes (insulin dependent diabetes mellitus), and experimental evidence provides indication that it is the IDDM susceptibility gene IDDM4. In various aspects the invention provides nucleic acid, including coding sequences, oligonucleotide primers and probes, polypeptides, pharmaceutical compositions, methods of diagnosis or prognosis, and other methods relating to and based on the gene, including methods of treatment of diseases in which the gene may be implicated, including autoimmune diseases, such as glomerulonephritis, diseases and disorders involving disruption of endocytosis and/or antigen presentation, diseases and disorders involving cytokine clearance and/or inflammation, viral infection, elevation of free fatty acids or hypercholesterolemia, osteoporosis, Alzheimer's disease, and diabetes.

Abstract: A novel receptor, “LDL-receptor related protein-3” (“LRP-3”), is provided, along with encoding nucleic acid. The gene is associated with type 1 diabetes (insulin dependent diabetes mellitus), and experimental evidence provides indication that it is the IDDM susceptibility gene IDDM4. In various aspects the invention provides nucleic acid, including coding sequences, oligonucleotide primers and probes, polypeptides, pharmaceutical compositions, methods of diagnosis or prognosis, and other methods relating to and based on the gene, including methods of treatment of diseases in which the gene may be implicated, including autoimmune diseases, such as glomerulonephritis, diseases and disorders involving disruption of endocytosis and/or antigen presentation, diseases and disorders involving cytokine clearance and/or inflammation, viral infection, elevation of free fatty acids or hypercholesterolemia, osteoporosis, Alzheimer's disease, and diabetes.

Abstract: A novel receptor, “LDL-receptor related protein-3” (“LRP-3”), is provided, along with encoding nucleic acid. The gene is associated with type 1 diabetes (insulin dependent diabetes mellitus), and experimental evidence provides indication that it is the IDDM susceptibility gene IDDM4. In various aspects the invention provides nucleic acid, including coding sequences, oligonucleotide primers and probes, polypeptides, pharmaceutical compositions, methods of diagnosis or prognosis, and other methods relating to and based on the gene, including methods of treatment of diseases in which the gene may be implicated, including autoimmune diseases, such as glomerulonephritis, diseases and disorders involving disruption of endocytosis and/or antigen presentation, diseases and disorders involving cytokine clearance and/or inflammation, viral infection, elevation of free fatty acids or hypercholesterolemia, osteoporosis, Alzheimer's disease, and diabetes.

Abstract: Phonetic units are identified in a body of utterance data according to a novel segmentation approach. A body of received utterance data is processed and a set of candidate phonetic unit boundaries is determined that defines a set of candidate phonetic units. The set of candidate phonetic unit boundaries is determined based upon changes in Cepstral coefficient values, changes in utterance energy, changes in phonetic classification, broad category analysis (retroflex, back vowels, front vowels) and sonorant onset detection. The set of candidate phonetic unit boundaries is filtered by priority and proximity to other candidate phonetic units and by silence regions. The set of candidate phonetic units is filtered using no-cross region analysis to generate a set of filtered candidate phonetic units. No-cross region analysis generally involves discarding candidate phonetic units that completely span an energy up, energy down, dip or broad category type no-cross region.

Abstract: A method and apparatus are provided for automatically recognizing words of spoken speech using a computer-based speech recognition system according to a dynamic semantic model. In an embodiment, the speech recognition system recognizes speech and generates one or more word strings, each of which is a hypothesis of the speech, and creates and stores a probability value or score for each of the word strings. The word strings are ordered by probability value. The speech recognition system also creates and stores, for each of the word strings, one or more keyword-value pairs that represent semantic elements and semantic values of the semantic elements for the speech that was spoken. One or more dynamic semantic rules are defined that specify how a probability value of a word string should be modified based on information about external conditions, facts, or the environment of the application in relation to the semantic values of that word string.

Abstract: Pre-computed context-dependent phoneme representations of a number of constituents of a grammar are processed dynamically by a speech recognizer. The approach provides a configurable tradeoff between data size and recognition-time computation. This tradeoff can be obtained without sacrificing recognition accuracy, and in particular, allows full modeling of all cross-word phoneme contexts. In one aspect of the invention, a specification of a grammar is processed. This specification includes specifications of a number of constituents of the grammar. A first subset of the constituents of the grammar are selected, and the remaining of the constituents form a second subset. For each of the constituents in the first subset the method first includes processing the specification of the constituent to form a first processed representation that defines sequences of elements that are associated with that constituent and that includes words and references to constituents in the first subset.

Abstract: The invention includes a method for speech recognition using cross-word contexts on dynamic grammars. The invention also includes a method for constructing a speech recognizer capable of speech recognition using cross-word contexts on dynamic grammars, by expanding a word of the main grammar into a corresponding network of sub-word units. The sub-word units are selected from the plurality of sub-word units based in part on a pronunciation of the word. Each sub-word unit has a permissible context including constraints on neighboring sub-word units within the corresponding network. The corresponding network is chosen to satisfy the constraints of the permissible context of each sub-word unit within the corresponding network. When the context of sub-word units would have apply to words provided by a runtime grammar, the expansion includes every sub-word unit that satisfies the permissible context, when compared to the corresponding network.